Video anti-shake method based on feature point matching

Abstract

The invention discloses a video anti-shake method based on feature point matching. The video anti-shake method based on the feature point matching comprises (1) establishing a kinematic relation of a camera system and an image system and extracting feature points of reference images; (2) leading subsequent every two neighboring image frames to be subjected to feature matching on the basis of the step (1); (3) removing wrong matching points after step (2) in order to eliminate influences of every interference on an image stabilization system as much as possible; (4) matching right coordinates according to obtained effective corresponding feature points and substituting the coordinates into an affine motion model of images to obtain global motion parameters; (5) filtering actual motion parameters on the basis of the step (4) to obtain intentional movement parameters; (6) transforming the current images by utilizing the affine motion model according to the actual motion parameter and the intentional motion parameters to achieve motion compensation of the image frames, and reconstructing a current undefinition area by utilizing previous image frame information to achieve motion compensation of the images; finally obtaining a stable video. The video anti-shake method based on the feature point matching is a novel method of computer digital image and machine vision and has the advantages of being convenient to operate and low in costs.

Description

technical field [0001] The invention relates to the technical field of digital image and video anti-shake, in particular to a video anti-shake method based on feature point matching. Background technique [0002] With the vigorous development of computer technology and digital image processing technology, more and more problems that can only be solved by mechanical equipment or other technologies can be directly completed by using software and hardware methods of digital image processing. And along with the continuous improvement of people's living standards, the application of various electronic imaging equipment is more extensive, and various imaging platforms are becoming more and more diversified. For example, in the civilian field, various mobile imaging equipment, such as digital cameras, Mobile phones, IPADs, etc.; in the military field, UAV detection systems, missile guidance systems, and vehicle traffic monitoring systems, etc. These video image signal sequences ob...

AI Technical Summary

Problems solved by technology

This kind of random jitter between video image frames seriously affects the quality and visual effect of the image, makes the observer prone to visual fatigue, and also brings adverse consequences to the extraction and application of useful

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